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PCA: for Dimensionality Reduction

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler

from sklearn.datasets import load_breast_cancer

Load data set

brc = load_breast_cancer()
brc.keys()
dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names', 'filename'])
brc.data.shape
(569, 30)